{"id":"W6977029767","doi":"10.6084/m9.figshare.17030799.v1","title":"Additional file 1 of Evaluating the potential for respiratory metagenomics to improve treatment of secondary infection and detection of nosocomial transmission on expanded COVID-19 intensive care units","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Thomas Hospital","funders":"","keywords":"Metagenomics; Table (database); Intensive care; Transmission (telecommunications); Identification (biology); Intensive care unit","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003035074,0.0016698,0.001418026,0.001870964,0.001120797,0.002579902,0.002386673,0.001901707,0.8441233],"category_scores_gemma":[0.0447683,0.0007246949,0.001485383,0.002665263,0.0003333036,0.002618797,0.001430838,0.001215761,0.1283667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001289851,"about_ca_system_score_gemma":0.002617461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009292783,"about_ca_topic_score_gemma":0.01472163,"domain_scores_codex":[0.9987727,0.0002425463,0.0002065524,0.00030293,0.0003254115,0.0001498237],"domain_scores_gemma":[0.9721097,0.02151398,0.001385096,0.001423079,0.002967416,0.0006006516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0008882674,0.0001483685,0.004528606,0.006409727,0.0001010164,0.0001132096,0.00007908355,0.0007913715,0.0002453044,0.0007954491,0.9740152,0.01188437],"study_design_scores_gemma":[0.0204589,0.001066717,0.06544013,0.01394546,0.0007313929,0.001087886,0.001072989,0.009928946,0.003310125,0.02120747,0.8613209,0.0004292154],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0002225078,0.00002252308,0.0003565304,0.0001304349,0.00003233253,0.0001552167,0.9981153,0.0003404608,0.0006248043],"genre_scores_gemma":[0.01479125,0.0002811907,0.01266465,0.001671549,0.0002398134,0.005726436,0.9516459,0.002452502,0.01052672],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8441233,"threshold_uncertainty_score":0.2223392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07052564205078896,"score_gpt":0.327740726767012,"score_spread":0.2572150847162231,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}